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The Review and Comparison between Centralized and Decentralized Digital Identity Systems Mob. Inf. Syst. (IF 1.863) Pub Date : 2024-2-26 Haihua Li, Yue Jing, Zhenyu Guan
The growing capability of the digital world empowers physical objects to possess much more digital assets than they ever had, and the concepts of the Internet of Things and the Industrial Internet are coming out continually. Digital identity, a unique mark of two-way mapping, dynamic interaction between physical and virtual objects, is one of the fundamental elements among these novel concepts because
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Exploring the Privacy Paradox in Social Network Users: A Double-Entry Mental Accounting Theory Perspective Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-12-14 Yuchen Pan, Huiping Chen
Social networking service (SNS) users often express great concern for their personal privacy, yet continue to disclose personal information on these platforms. This privacy paradox between privacy concerns and disclosure behavior has drawn widespread academic attention. In this study, we use the double-entry mental accounting theory to construct a theoretical model and conduct an in-depth analysis
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Challenges and Possible Solutions of Implementing 5G Mobile Networks in Bangladesh Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-12-5 Md. Najmul Hossain, Hasan Al-Mamun, Muhammad Shafiqul Islam, Liton Chandra Paul, Md. Abdur Rahim, Md. Matiqul Islam, Md. Ashraful Islam, Md. Arifour Rahman
Recently, fifth-generation (5G) mobile connectivity has been launched in Bangladesh on a trial-run basis. 5G is a super-speed mobile network that is much faster than the existing fourth-generation (4G) technology. It is excruciatingly hard to deploy a fully functioning 5G in any country regardless of its available resources and technological advancements because of some apparent technological complexity
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Blockchain-Based Authentication Scheme with an Adaptive Multi-Factor Authentication Strategy Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-11-14 Yanbin Xu, Xinya Jian, Tao Li, Shuang Zou, Beibei Li
Authentication is of paramount significance to cybersecurity. However, most of conventional authentication schemes are implemented in a centralized mode, in which potential problems that could arise include single-point failure, the exposure of personal information, and the risk of identity theft. Additionally, static single-factor authentication schemes are unsuitable for dynamic environments like
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Dynamic Q-Learning-Based Optimized Load Balancing Technique in Cloud Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-11-6 Arvindhan Muthusamy, Rajesh Kumar Dhanaraj
Cloud computing provides on-demand access to a shared puddle of computing resources, containing applications, storage, services, and servers above the internet. This allows organizations to scale their IT infrastructure up or down as needed, reduce costs, and improve efficiency and flexibility. Improving professional guidelines for social media interactions is crucial to address the wide range of complex
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Optimizing QoS Metrics for Software-Defined Networking in Federated Learning Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-10-9 Mahdi Fallah, Parya Mohammadi, Mohammadreza NasiriFard, Pedram Salehpour
In the modern and complex realm of networking, the pursuit of ideal QoS metrics is a fundamental objective aimed at maximizing network efficiency and user experiences. Nonetheless, the accomplishment of this task is hindered by the diversity of networks, the unpredictability of network conditions, and the rapid growth of multimedia traffic. This manuscript presents an innovative method for enhancing
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The Effect of Consumer Resistance and Trust on the Intention to Accept Fully Autonomous Vehicles Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-10-6 Dawoon Wang, Hyekyong Choi
Fully autonomous vehicles are a new technology that is expected to be widely accepted by consumers because of their various advantages. This study examined consumers’ intention to accept fully autonomous vehicles based on trust and resistance. To this end, consumer data were analyzed by integrating the innovation resistance model and the technology trust model. The subjects of the survey were 400 drivers
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Blockchain Technology Applied to Supply Chain Management: A Systems’ Analysis Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-8-22 Ruli Liu, Wenxue Ran, Shiwen Liu
Blockchain technology can be used to record real data at various nodes in the entire supply chain and can achieve timely data sharing and full traceability of the whole lifecycle of products in the supply chain. This study conducts a systematic literature review based on the WOS database, focusing on the research topic of the application of blockchain technology in supply chain management. We propose
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Optimizing Nonlinear Distortion and Interference in MC-CDMA Receivers Employing Deep Neural Networks Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-8-21 C. V. Ravikumar, Kalapraveen Bagadi, K. Rushendrababu, Asadi Srinivasulu, Satish Kumar
Systems that employ multicarrier code division multiple access, commonly known as MC-CDMA, produce outstanding results in terms of both the performance of the system as a whole and the efficiency with which it uses the spectrum. However, multiple access strategies are susceptible to interference despite their high spectrum efficiency. This work aims to reduce multiple access interference (MAI) by developing
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Predictors of Economics Students’ Behavioural Intention to Use Tablets: A Two-Staged Structural Equation Modelling–Artificial Neural Network Approach Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-7-27 Mumuni Baba Yidana, Francis Arthur, Dominic Winston Kaku, Peter Anti Partey
The government of Ghana, as part of its digitisation agenda, intends to provide all senior high school students in Ghana with tablets that are loaded with textbooks and other educational materials for their studies. This initiative is flaunted as one of the game-changing development that is yet to happen in the country. This study employed a modified unified theory of acceptance and use of technology
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Satellite Imageries for Detection of Bangladesh’s Rural and Urban Areas Using YOLOv5 and CNN Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-7-17 Mirajul Islam, Nushrat Jahan Ria, Jannatul Ferdous Ani
In recent years, there have been significant advancements in object identification in natural photos. However, when applying natural image object recognition techniques directly to satellite images, the results are often unsatisfactory. This is primarily due to inherent disparities in the object scale and orientation caused by the omniscient viewpoint of satellite imagery. The distinguishing factors
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A Computer Vision-Based System for Recognition and Classification of Urdu Sign Language Dataset for Differently Abled People Using Artificial Intelligence Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-6-26 Hira Zahid, Sidra Abid Syed, Munaf Rashid, Samreen Hussain, Asif Umer, Abdul Waheed, Shahzad Nasim, Mahdi Zareei, Nafees Mansoor
Communication between normal people and deaf people is the most difficult part of daily life worldwide. It is difficult for a normal person to understand a word from the deaf one in their daily routine. So, to communicate with deaf people, different countries developed different sign languages to make communication easy. In Pakistan, for deaf people, the government developed Urdu Sign Language to communicate
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Convoluted Meander Line-Inspired Metallic Surface Filter for Bluetooth and WLAN Bands Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-6-6 Ashish Bagwari, Payal Jindal, Ajay Yadav, Rahul Tiwari, Sudhir Kumar Sharma, J. Logeshwaran
A convoluted meander line integrated cross dipole metallic structure with a dual-bandstop feature is presented in this manuscript. The investigated frequency-selective surface (FSS) exhibits the bandstopping characteristics for the Bluetooth (2.4 GHz) and WLAN (5.5 GHz) applications with a miniaturized unit cell size of 9.7 × 9.7 mm2. The proposed design has a polarization insensitivity feature for
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Perspectives of Collaborative Governance: Integration of Social and Cognitive Computing with Complex Networks Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-6-2 Chuan Zhou, Suying Gui, Yan Liu, Junpeng Ma, Hao Wang
In the current era, big data play a very important role in various government organizations. Therefore, it is necessary to connect government big data with the national modern governance system since it is a crucial resource, asset, technology, and service support facility for government departments. The government information system requires complex system engineering. The collaborative governance
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Intelligent Path Planning for AGV-UAV Transportation in 6G Smart Warehouse Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-5-31 Weiya Guo, Shoulin Li
Recently, deep reinforcement learning (DRL) has attracted increasing interest in the field of intelligent navigation and path planning in smart warehousing. The latest imitation augmented DRL (IADRL) model has achieved good performance for the cooperative transportation tasks of automatic guided vehicles (AGVs) and unmanned aerial vehicles (UAVs). However, this model cannot always transport target
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Intelligent Testing and Analysis of Dissimilar Steel Welds for Industrial Throttle Flowmeter Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-5-25 Lianghuai Tong, Hui Xu, Xiaojie Xu, Huaye Cheng, Feng Li, Jiahui Zhou
The throttling flowmeter used in utility boilers has been used as a measuring instrument for a long time. However, its safety performance, such as welding, lacks enough attention. The manufacturing welds of the throttling flowmeter are welded with austenitic stainless steel and pearlitic heat-resistant steel. Cracks and other defects are generally found in the inspection and detection of the manufacturing
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Multihop Uplink Communication Approach Based on Layer Clustering in LoRa Networks for Emerging IoT Applications Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-5-20 Alain Bertrand Bomgni, Hafiz Munsub Ali, Mohammed Shuaib, Yann Mtopi Chebu
LoRa technology is widely used in the Internet of things network applications. It enables low-volume data transmission via small wireless devices. The principle of LoRa networks (an LPWAN technology: Low Power Wide Area Network) is to transmit data by air from sensors with a short transmission range, about over ten kilometers. These sensors should not be powered by electricity, and batteries power
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Path and Mechanism of Industrial Internet Industry Promoting the Transformation and Upgrading of Small and Medium-sized Enterprises with Artificial Intelligence Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-5-18 Yi He
With the development of intelligent sensing and communication, industrial Internet of Things (IoT) networks have been widely applied in many application scenarios. As a typical application of industrial Internet of Things (IoT) networks, industrial Internet industry has attracted much attention from researchers. Specifically, in the transformation and upgrading of small enterprises in the Internet
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Optimization Simulation of Match between Technical Actions and Music of National Dance Based on Deep Learning Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-5-18 Aimin Zhang
In the match between technical movements and music of folk dance, the most important thing is to extract features effectively. DL algorithm is one of the most efficient methods to extract video features at present. In this study, the DL method is applied to the matching optimization of technical movements and music in folk dance. Using DL to train the corresponding relationship between the technical
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Development of Railway Information System to Improve Railway Data Aggregation and Analysis in Tanzania Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-5-11 Kitoi E. Adam, Mussa Ally Dida, Devotha G. Nyambo
For more than three decades, railway transportation in Tanzania has been in an on-and-off state even though a railway network exists. This is due to damaged tracks, a lack of proper management, and railway operational information. Recently, the Tanzanian government made efforts to revive railway transportation by reopening a few train routes and constructing a new and improved railway network. Even
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m-Health of Nutrition: Improving Nutrition Services with Smartphone and Machine Learning Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-5-8 Yu Liu, Huaiyan Jiang, Yumei Qi, Jinsheng Yang
Balanced and adequate nutrient intakes are increasingly desired for people, especially those affected by chronic diseases. How to help people to realize appropriate nutrient consumption is an issue that should be addressed in smart healthcare. This study proposes a novel smartphone-based platform that includes dietary records, nutrition data analysis, and online nutritional guidance to improve remote
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PLAP: CSI-Based Passive Localization with Amplitude and Phase Information Using CNN and BGRU Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-5-3 Qian Wang, Qingguo Yao, Yuli Li, Yansong Zhang, Cuicui Xu
With the increasing popularization and development of WiFi devices, nowadays WiFi-based indoor localization has become a hot topic. Traditional Wi-Fi-based localization technologies which utilize received signal strength indication suffer from indoor multi-path effects and result in localization performance degradation. Therefore, choosing the appropriate characteristic of the WiFi signal is crucial
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An Underwater Target Tracking Algorithm Based on Extended Kalman Filter Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-5-3 Jian Huang
The technology of ocean monitoring is more advanced while the continuous development of industrial Internet. Unmanned underwater vehicle (UUV) is one of major ways for underwater environment monitoring, which makes high-precision positioning, and tracking of it is one of the key problems and needs to be solved urgently. An underwater acoustic positioning and tracking algorithm based on multiple beacons
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IPoE Enhanced Reliability Model Based on SDH Optical Transmission for Intelligent Power Dispatching Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-5-3 Shibo Zeng
Internet of Things (IoT) technology is one of the more advanced network communication technologies at present, and the IoT-based power dispatching system can improve the operation efficiency of power system. As the number of power users increases dramatically, higher requirements are put forward for the communication and management of IoT-based devices. The authentication method of traditional network
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Cognitive Lightweight Logistic Regression-Based IDS for IoT-Enabled FANET to Detect Cyberattacks Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-4-29 Khaista Rahman, Muhammad Adnan Aziz, Nighat Usman, Tayybah Kiren, Tanweer Ahmad Cheema, Hina Shoukat, Tarandeep Kaur Bhatia, Asrin Abdollahi, Ahthasham Sajid
In recent few years, flying ad hoc networks are utilized more for interconnectivity. In the topological scenario of FANETs, IoT nodes are available on ground where UAVs collect information. Due to high mobility patterns of UAVs cause disruption where intruders easily deploy cyberattacks like DoS/DDoS. Flying ad hoc networks use to have UAVs, satellite, and base station in the physical structure. IoT-based
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Cognitive Neural Computation Modeling of Human Brain Information Storage and Extraction Based on Intelligent Computing Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-4-28 Yao Wang
With the development of neurological and brain science, human beings have more understanding of the memory mechanism of the brain. Therefore, using the memory mechanism of the brain to store and retrieve images is one of the most popular research fields in the world. Memory is an important part of the human cognitive system, and it is the basis for the realization of higher-level cognitive activities
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IoT Networks-Aided Perception Vocal Music Singing Learning System and Piano Teaching with Edge Computing Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-4-28 Qian Li, Heng Liu, Xiaoming Zhao
The research on Internet of Things (IoT) network and edge computing has been a research hotspot in both industry and academia in recent years, especially for the ambient intelligence and massive communication. As a typical form of IoT network and edge computing, the intelligent perception vocal music singing learning system has attracted the attention of researchers in education and academia. Piano
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Wireless Network-Aided Delay Information System Correlation with Airport Grid Distribution Based on Multideterminants Big Data Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-4-27 Yujie Yuan, Xiushan Jiang
The intelligent sensing and communication technology in the airports’ grid information system provides a multidimensional big data set for analyzing flight delays. These data from air traffic control, weather, and multiple determinants will cause initial flight delays. Due to the influence of adjacent flight time correlation, the initial delay causes the delay of subsequent flights, discovered by mining
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A Real-Time Tourism Route Recommendation System Based on Multitime Scale Constraints Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-4-26 Yongmei Song, Xuelian Jiao
In order to increase the capability of real-time intelligent recommendation of tourists’ information on cross-regional city-level tourist routes with epidemic normalization, a real-time intelligent recommendation algorithm for cross-regional city-level tourist routes with epidemic normalization based on multi-time scale constraints is proposed. Under the training of limited samples, the tourist correlation
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Evaluation of Music Art Teaching Quality Based on Grey Neural Network Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-4-25 Fengqin Liu, Jinhua Wu
The study and implementation of music art teaching quality monitoring systems as a major teaching management project in Chinese colleges and universities has been in continuation for a decade. An essential challenge in the management of colleges and universities is that how to assess the teaching abilities of music and art professors fairly and objectively. The system is designed and implemented by
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Joint Optimization of Resources in Fog-Radio Access Network with Binary Computation Offloading Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-4-21 Wenle Bai, Zhuoqi Wang
With the dramatic increase in the number of emerging Internet services, the Fog-Radio Access Network (F-RAN) has recently emerged as a promising paradigm to enhance high-load task processing capabilities for mobile devices, such as the Internet of things (IoT) and mobile terminals. Hence, it becomes a challenge for the F-RAN to reduce the offloading cost by designing an effective offloading strategy
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Real-Time Collision Detection Optimization Algorithm Based on Snake Model in the Field of Big Data Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-4-20 Sining Cheng, Huiyan Qu
Big data processing includes multiple processing flows of data. But data quality is the most important part of the entire process. Every data processing link will have an impact on the quality of big data. Collision detection is an important research content in many fields such as computer graphics and computer virtual reality. In layman's terms, it means that the computer detects the signal voltage
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A Hybrid Framework of Blockchain and IoT Technology in the Pharmaceutical Industry: A Comprehensive Study Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-4-20 Abidemi A. Emmanuel, Jinmisayo A. Awokola, Shadab Alam, Salil Bharany, Praise Agboola, Mohammed Shuaib, Rafeeq Ahmed
The pharmaceutical company is key to having a strong healthcare system, and excellent healthcare is essential for every society and economy. However, there are significant concerns with medication safety and security as a result of fake and inferior medical items, which constitute a significant hazard and harm to consumers’ health. Globally, drug counterfeiting is a severe problem that endangers the
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Detection and Counter Measure of Packet Misrouting by GPS-Free Positioning of Ad-Hoc Nodes Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-4-19 Godfrey Winster Sathianesan, S. Gnanavel, R. Shalini, V. Raji, R. Vijay Anand, Md Salah Uddin
The ad-hoc networks are a developing area of research with a large and wide variety of applications and related requirements. The nodes participating in an ad-hoc network use different routing protocols to send their packets from one node to another. But most of the time, the ad-hoc network is not suitable for urgent needs. For this, an ad-hoc network GPS-free positioning system can be used in emergency
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Financial Big Data Intelligent Service System Based on Cloud Computing of Internet of Things Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-4-19 Meiping Gao, Qingfang He, Xiaoping Ruan
The financial big data intelligent service system belongs to the technical field of financial data management. It is an innovation of the client and server of the financial service system, which promotes the electronic office of the financial system. This paper aimed to analyze the cloud computing means of the Internet of things (IoT), select a more suitable specific algorithm, and conduct an in-depth
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Automatic Scoring Model of English Interpretation Based on Semantic Scoring Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-4-17 Hua Ma
In order to explore how English interpreting can achieve automatic scoring, the author proposes an automatic scoring model for English interpreting based on semantic scoring. This method recommends key technical problems and solutions based on information represented by semantic scoring, and explores the research on how interpreting can achieve automatic scoring of oral examinations. Research has shown
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Analysis on Simplified Method of IoT-based HHL Algorithm Corresponding Quantum Circuit for Quantum Computer Application Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-4-17 Jie Xu, Dingjun Qian, Gensheng Hu
Whether it is a traditional industry or a Frontier field, it has unveiled the trend of industrial IoT construction and application, which plays a vital role in building a strong manufacturing country and promoting high-quality economic development in China. HHL algorithm has become one of the important quantum algorithms, but there are few researches on the construction of quantum circuits and the
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A Full-Duplex Decode-and-Forward Relaying Approach Based on QAM Constellation Suitable for Small-Size Devices Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-4-17 Xinhai Song, Haiyang Ding, Liang He, Zhuang Miao
The explosive growth of the Internet of Things (IoT) is putting higher requirements for the performance of co-time co-frequency full-duplex relaying (CCFD-R) due to small-size devices appearing in abundance. In this paper, we present a novel CCFD-R approach with very low complexity to deal with the issue above. Based on the orthogonality of its two components, a distributed usage mode of quadrature
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Siamese Interaction and Fine-Tuning Representation of Chinese Semantic Matching Algorithm Based on RoBERTa-wwm-ext Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-4-15 Baohua Qiang, Guangyong Xi, Yufeng Wang, Xianyi Yang, Yuemeng Wang
Semantic matching research is the cornerstone of research in the fields of natural language similarity measurement and sensor ontology matching (OM). In the existing Chinese semantic matching methods, there are some shortcomings, such as the single dimension of semantic expression, the insufficient expression of context semantic relations, and the insufficient interaction of semantic information between
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Deep Learning-Based Business Recommendation System in Intelligent Vehicles Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-4-14 Kyungho Yu, Kiho Lim, Pankoo Kim
The advancements in intelligent vehicle technologies are facilitating the growth of information technology (IT) platforms, unlike conventional automobiles. In-vehicle-infotainment (IVI) is becoming an appealing element in intelligent vehicles as it offers various experiences to users; however, it requires personalized services to provide even more sophisticated user experiences. It is supposed that
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Challenges and Solutions of the Application of Data-Driven Technology in Network 3D Game Design Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-4-13 Huayi Wang, Xiangrui Li
The development of online games is in full swing in recent years, and it is developing in the direction of 3D, exquisite, and has attained significant popularity. However, there are many challenges faced while designing 3D games that are targeted to specific user groups and can run stably. Data-driven technology can collect game preferences and identify common technical defects and other issues in
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A Lightweight Binarized Convolutional Neural Network Model for Small Memory and Low-Cost Mobile Devices Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-4-12 Xuan Qi, Zegang Sun, Xue Mei, Ryad Chellali
In recent years, the high cost of implementing deep neural networks due to their large model size and parameter complexity has made it a challenging problem to design lightweight models that reduce application costs. The existing binarized neural networks suffer from both the large memory occupancy and the big number of trainable params they use. We propose a lightweight binarized convolutional neural
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Dynamic Student Data Management Using Resource Optimization Technology in Higher Education Platforms Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-4-12 Chenghao Lu, Omer Saeed
This study combines intelligent resource optimization technology to build a dynamic student data management model and suggests a fuzzy hierarchical network representation model based on isomorphism and homogeneity in order to increase the effectiveness of dynamic student data management in colleges and universities. The important semantics of nodes in the network are also captured in this study using
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Higher Education Multimedia Teaching System Based on the Artificial Intelligence Model and Its Improvement Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-4-10 Xiaoyu Yang
In order to improve the quality of multimedia teaching in higher education, this article analyzes the problems existing in multimedia education in higher education, improves the multimedia teaching system, and proposes a three-dimensional multimedia image surface extraction method based on crease. Moreover, this article uses the level set method to segment the Gaussian smoothed multimedia data to obtain
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Application Analysis of Intelligent Particle Swarm Algorithm in the Development of Modern Tourism Intelligence Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-4-8 Huihui Jin
Information technology has been increasingly vital in the rapid expansion of the tourism industry economy. The new information technology has become a significant driving force and factor in the tourism industry’s economic development. The application of new information technology to the advancement of modern tourist intelligence has emerged as an essential study area. Smart tourism, aided by informatization
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Network Intrusion Anomaly Detection Model Based on Multiclassifier Fusion Technology Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-4-8 Feilu Hang, Wei Guo, Hexiong Chen, Linjiang Xie, Xiaoyu Bai, Yao Liu
With the increasing development of the industrial Internet, network security has attracted more and more attention. Among the numerous network security technologies, anomaly detection technology based on network traffic has become an important research field. At present, a large number of methods for network anomaly detection have been proposed. Most of the better performance detection methods are
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Design of NULLMAC Protocol for Mobile Ad Hoc Network Using Adaptive Antenna Array Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-4-6 Mahendrakumar Subramaniam, Vanitha Krishnan, Chunchu Rambabu, Gokul Chandrasekaran, Neelam Sanjeev Kumar
Usually, omnidirectional radiation pattern antenna is used in the mobile ad hoc network (MANET) which causes neighbor node interference, consumes more power, and supports only limited range of transmission. To overcome these problems, smart antennas are used. A lot of medium access control (MAC) protocols are proposed using smart antennas. Existing works addressed various problems such as hidden terminal
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The Inhibition of Institutional Investor Clique on the Tunneling Behavior Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-2-23 Qi Luo, Fang Fang, Yanfei Zhang
The development of communication technology has accumulated a large amount of data in the field of finance, and analyzing this data can better portray the behavior of financial entities, which is crucial to the progress of corporate finance. Based on the theory of social network and the classic “prisoner’s dilemma” model, this article finds that institutional investors will cooperate to participate
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Remote Sensing Image Change Detection Network Based on Twin High-Resolution Representation Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-2-22 Xiaosuo Wu, Yaya Ma, Haowen Yan, Ze Qiao, Chaoyang Wu, Cunge Guo, Shuang Yao, Yufeng Fan
With the increase of spatial resolution of remote sensing images, features of feature imaging become more and more complex, and the change detection methods based on techniques such as texture representation and local semantics are difficult to meet the demand. Most change detection methods usually focus on extracting semantic features and ignore the importance of high-resolution shallow information
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Design of Personalized News Recommendation System Based on an Improved User Collaborative Filtering Algorithm Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-2-22 Xuejiao Wang, Chao Liu
To solve the problem of information overload in the field of news, this paper designs and implements a feasible news recommendation system, where the front-end web page is made by Django framework, whose performance is optimized by bootstrap and jquery, while in the back-end design, the original user similarity calculation method is improved by adding the time attenuation factor, and a news recommendation
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Unmanned Aerial Vehicle and Geospatial Analysis in Smart Irrigation and Crop Monitoring on IoT Platform Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-2-20 Wei Zhao, Meini Wang, V. T. Pham
The geospatial analysis provides high potential for modeling, understanding, and visualizing artificial and natural ecosystems, utilizing big data analytics and the Internet of things as a pervasive sensing infrastructure. Precision agriculture, weed control, fertilizer distribution, and field management benefit from unmanned ariel vehicles (UAVs). Reduced production costs and improved crop quality
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Deconstruction of Related Technologies of Ground Image Processing Based on High-Resolution Satellite Remote Sensing Images Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-2-18 Kai Feng, Yi Wu, Rui Zhang
The Earth observation system heavily relies on sophisticated remotely sensed satellites, an important means to obtain global high-precision geospatial products and an important strategic area for the world’s major scientific and technological powers to develop. Although China’s satellites currently have real-time or quasi-real-time observations with a high temporal resolution, there are still a lot
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Preserving Resource Handiness and Exigency-Based Migration Algorithm (PRH-EM) for Energy Efficient Federated Cloud Management Systems Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-2-17 R. Karthikeyan, B. Sundaravadivazhagan, Robin Cyriac, Praveen Kumar Balachandran, S. Shitharth
On-demand computing ability and efficient service delivery are the major benefits of cloud systems. The limitation in resource availability in single data centers causes the extraction of additional resources from the cloud providers group. The federation scheme dynamically increases resource availability in response to service requests. The dynamic increase in resource count leads to excessive energy
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Display Design Model Based on the Internet of Things Prototype System Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-2-11 Pingshan Wang, Fei Yan
The display design of the Internet of Things prototype system is the top priority of the design of the display space, and it is also a problem to be studied in the future development of the display space. However, the current research on the display design direction of IoT prototype system is not deep enough. This article mainly studies the display design model based on the Internet of Things prototype
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Construction of Digital Art Education Platform under the “Internet+” Environment Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-2-10 Chen Zhang, Xiaoxia Li
With the development of society and the rapid development of the Internet, there are currently about 100 million web pages and 100 million hyperlinks, and in the future, the number of web pages and hyperlinks will also intensify. How to make this huge Internet better used by people has become a common concern of the international community. In recent years, with the acceleration of the reform of China’s
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Development and Training Strategies of College Teachers Based on Data Mining Technology Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-2-10 Yan Zhou
With the increasing investment in education in China, higher education institutions have higher requirements for the introduction of teachers. This research mainly discusses the development and training strategies of college teachers based on data mining technology. Data mining technology is dedicated to data analysis and understanding, and the technology of revealing the information contained in the
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Medical Big Data Risk Management: A Systematic Management Approach Based on Bayesian Belief Networks Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-2-10 Xiaoyi Zhang, Xinru Liu, Shengzhu Zhou, Ning Ma
The purpose of this paper is to identify the medical risk of applying big data technology and to build a medical big data risk (MBDR) control process and manage medical big data risk (MBDR) from a systematic perspective. In this process, we firstly used systematic literature reviews (SLRs) method to systematically search 322 papers in web of science with the topics of “medical risk” and “big data risk”
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A Multitask Sign Language Recognition System Using Commodity Wi-Fi Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-2-10 Zhongjian Gao, Chien-Cheng Lee, Lianhui Zheng, Ruige Zhang, Xiaofu Xu
Wi-Fi sensing for gesture recognition systems is a fascinating and challenging research topic. We propose a multitask sign language recognition framework called Wi-SignFi, which accounts for gestures in the real world associated with various objects, actions, or scenes. The proposed framework comprises a convolutional neural network (CNN) and K-nearest neighbor (KNN) module. It is evaluated on the
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Design of Metaverse-Based Physical Fitness Service for the Enhancement of Exercise Capability for Youth Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-2-8 Jangwon Lee, Hyoung-Ki Yoon, Dongho Kim
This study explains the case study to develop a metaverse-based training system for the management of the physical fitness of youth. The study targeted developing a smart mirror-based AR physical fitness system and a bone age-based physical fitness management service to enhance exercise capability in youth. Accordingly, the data on youth’s bone age, physical strength, and physique were collected. Based
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Research on the Social Security and Elderly Care System under the Background of Big Data Mob. Inf. Syst. (IF 1.863) Pub Date : 2023-2-7 Jinyan Li
In order to solve some of the problems of old-age care in the current society, combined with data mining technology, in-depth research on the current social security field of the elderly has been carried out. At present, the process of urbanization is accelerating. With the rapid increase of the urban population, the aging problem is becoming more and more serious. The pension model has attracted attention